activity
20172021
most citedSLIM: Semi-Lazy Inference Mechanism for Plan Recognition

11 citations · 21 across the 5 of their papers we have counts for

collaborators

14 papers

cs.LG20211 cited

MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks

Nicholas Hoernle, Rafael Michael Karampatsis, Vaishak Belle +1

We propose a novel way to incorporate expert knowledge into the training of deep neural networks. Many approaches encode domain constraints directly into the network architecture,…

cs.HC2021

Revisiting Citizen Science Through the Lens of Hybrid Intelligence

Janet Rafner, Miroslav Gajdacz, Gitte Kragh +13

Artificial Intelligence (AI) can augment and sometimes even replace human cognition. Inspired by efforts to value human agency alongside productivity, we discuss the benefits of so…

cs.SI20203 cited

One Size Does Not Fit All: A Study of Badge Behavior in Stack Overflow

Stav Yanovsky, Nicholas Hoernle, Omer Lev +1

Badges are endemic to online interaction sites, from Question and Answer (Q&A) websites to ride sharing, as systems for rewarding participants for their contributions. This paper s…

cs.HC2020

In the Eye of the Beholder? Detecting Creativity in Visual Programming Environments

Anastasia Kovalkov, Avi Segal, Kobi Gal

Visual programming environments are increasingly part of the curriculum in schools. Their potential for promoting creative thinking of students is an important factor in their adop…

cs.LG2020

Personalization in Human-AI Teams: Improving the Compatibility-Accuracy Tradeoff

Jonathan Martinez, Kobi Gal, Ece Kamar +1

AI systems that model and interact with users can update their models over time to reflect new information and changes in the environment. Although these updates may improve the ov…

cs.CY2020

Applying Transparency in Artificial Intelligence based Personalization Systems

Laura Schelenz, Avi Segal, Kobi Gal

Artificial Intelligence based systems increasingly use personalization to provide users with relevant content, products, and solutions. Personalization is intended to support users…